In this video, we will cover uniform distribution Python.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...

In this video, you will learn how to implement scaling the data in our neural network.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this...

This video focuses on date slicers in Power BI.<br<br/>/>

This clip is from the chapter "Slicers in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section explains slicers in Power BI.

This video demonstrates how to create a histogram in Power BI.
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This clip is from the chapter "Advanced Charts in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on...

This video explains how to perform aggregation in a table.
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This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an...

In this video, we will cover MAP.

In this video, we will cover feature scaling.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...

👉 Learn how to identify the vertex of a parabola by completing the square. A parabola is the shape of the graph of a quadratic equation. A quadratic equation can be written in the standard form (i.e. in the form y = ax^2 + bx + c) or it...

Master Graphing Sine with a Change in Amplitude

[Hands-On] gRPC Bi-Directional Streaming: [Solution] FindMaximum API
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This clip is from the chapter "[Hands-On] gRPC Bi-Directional Streaming" of the series "gRPC [Java] Master Class: Build Modern API and Microservices".In...

This video explains activity 13- solution.<br<br/>/>

This clip is from the chapter "EEPROM- Save Values on the Arduino" of the series "Arduino for Beginners - 2022 Complete Course".This section explains how to save values on the Arduino.

This video explains activity 13 - save an LED max brightness for the next program run.
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This clip is from the chapter "EEPROM- Save Values on the Arduino" of the series "Arduino for Beginners - 2022 Complete Course".This...

This video explains the solution to the activity.<br<br/>/>

This clip is from the chapter "LEDs- Digital Pins as Output Pins" of the series "Arduino for Beginners - 2022 Complete Course".This section explains digital pins as output pins.

This is a solution video on why derivatives.<br<br/>/>

This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.

This is an exercise video on MaxPooling.
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This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural...

This is third of the five-part video on implementation in NumPy BackwardPass.
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This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section...

This video talks about gray-scale images.<br<br/>/>

This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.

In this video, you will learn about Pooling layer.
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This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will...

This is the second of the three-part video that explains implementing Q-Learning.
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This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This...

This video explains about the implementation of the Agent class.<br<br/>/>

This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.

This video explains the tuple built-in functions, how to perform these functions, and basic operations with tuples.
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This clip is from the chapter "Tuples" of the series "Python in Practice - 15 Projects to Master Python".This...

This video explains preparing the data.<br<br/>/>

This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.

This video explains generating the final report.<br<br/>/>

This clip is from the chapter "Data Science Project 1" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on data science project 1.

In this part, we will work on predict, accuracy, and neural network functions.
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This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section,...